お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Manages tasks through the Model Context Protocol (MCP).
Provides an MCP server implementation for Frappe.
Facilitates the setup and execution of MCP servers with custom tools.
Categorizes various tools based on their functionality within the MCP Server ecosystem.
Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.
Implements Model Context Protocol servers in multiple languages for use with applications like Claude and Cursor.
Exposes Swagger/OpenAPI endpoints through the Model Context Protocol for AI agent accessibility.
Facilitates interaction between LLM applications and the Unsplash image library via the Model Context Protocol (MCP).
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Creates and manages Docker containers using the Model Context Protocol.
Enables AI systems to access real-time web search capabilities.
Manages an AWS Aurora Postgres server configured with the Pgvector extension.
Provides a demonstration of MCP server capabilities.
Validates GitHub operation execution through a server integration.
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
Enables AI models to perform real-time web searches using OpenAI's web search preview feature.
Provides a server-side Message Control Protocol for AtendeAi.
Collects and submits usage statistics from AI code assistants for analysis and tracking.
Provides tools categorized for MCP Server applications.
Enables querying and adding of student information.
Manage and deploy server configurations and scripts.
Enables AI agents to interact with Shopify stores through a standardized protocol.
Locates files by searching for path fragments on a server.
Enables AI coding tools to access and interpret Figma designs for code generation and design token extraction.
Supplies weather data to large language models via the Model Context Protocol.
Enables Claude to perform security scans on Terraform code, visualize AWS cloud architectures, and execute Terraform commands.
Provides a test server implementation.
Executes shell commands within a defined workspace, enabling communication between external tools and AI clients like Claude.
Provides a minimal ModelContextProtocol server template for building AI assistant tools.
Enables direct interaction with a CockroachDB database within Cursor using the Model Context Protocol (MCP).
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